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- Adds a CompiledModule abstraction on top of Cuda run time compilation. - Adds a cache of run time compiled kernels. The cache returns a kernel immediately and leaves the kernel compiling in the background. The kernel's methods wait for the compilation to be ready. - tests that runtime API and driver API streams are interchangeable when running a dynamically generated kernel. - Add proper use of contexts, one per device. The contexts are needed because of using the driver API to handle run time compilation. - Add device properties to the Device* struct.
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Orri Erling
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Oct 10, 2024
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/* | ||
* Copyright (c) Facebook, Inc. and its affiliates. | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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#include <fmt/format.h> | ||
#include <gflags/gflags.h> | ||
#include <nvrtc.h> | ||
#include "velox/experimental/wave/common/Cuda.h" | ||
#include "velox/experimental/wave/common/CudaUtil.cuh" | ||
#include "velox/experimental/wave/common/Exception.h" | ||
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DEFINE_string( | ||
wavegen_architecture, | ||
"compute_80", | ||
"--gpu-architecture flag for generated code"); | ||
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namespace facebook::velox::wave { | ||
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void nvrtcCheck(nvrtcResult result) { | ||
if (result != NVRTC_SUCCESS) { | ||
waveError(nvrtcGetErrorString(result)); | ||
} | ||
} | ||
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class CompiledModuleImpl : public CompiledModule { | ||
public: | ||
CompiledModuleImpl(CUmodule module, std::vector<CUfunction> kernels) | ||
: module_(module), kernels_(std::move(kernels)) {} | ||
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~CompiledModuleImpl() { | ||
auto result = cuModuleUnload(module_); | ||
if (result != CUDA_SUCCESS) { | ||
LOG(ERROR) << "Error in unloading module " << result; | ||
} | ||
} | ||
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void launch( | ||
int32_t kernelIdx, | ||
int32_t numBlocks, | ||
int32_t numThreads, | ||
int32_t shared, | ||
Stream* stream, | ||
void** args) override; | ||
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KernelInfo info(int32_t kernelIdx) override; | ||
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private: | ||
CUmodule module_; | ||
std::vector<CUfunction> kernels_; | ||
}; | ||
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std::shared_ptr<CompiledModule> CompiledModule::create(const KernelSpec& spec) { | ||
nvrtcProgram prog; | ||
nvrtcCreateProgram( | ||
&prog, | ||
spec.code.c_str(), // buffer | ||
spec.filePath.c_str(), // name | ||
spec.numHeaders, // numHeaders | ||
spec.headers, // headers | ||
spec.headerNames); // includeNames | ||
for (auto& name : spec.entryPoints) { | ||
nvrtcCheck(nvrtcAddNameExpression(prog, name.c_str())); | ||
} | ||
auto architecture = | ||
fmt::format("--gpu-architecture={}", FLAGS_wavegen_architecture); | ||
const char* opts[] = { | ||
architecture.c_str(), | ||
#ifndef NDEBUG | ||
"-G" | ||
#else | ||
"-O3" | ||
#endif | ||
}; | ||
auto compileResult = nvrtcCompileProgram( | ||
prog, // prog | ||
sizeof(opts) / sizeof(char*), // numOptions | ||
opts); // options | ||
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size_t logSize; | ||
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nvrtcGetProgramLogSize(prog, &logSize); | ||
std::string log; | ||
log.resize(logSize); | ||
nvrtcGetProgramLog(prog, log.data()); | ||
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if (compileResult != NVRTC_SUCCESS) { | ||
nvrtcDestroyProgram(&prog); | ||
waveError(std::string("Cuda compilation error: ") + log); | ||
} | ||
// Obtain PTX from the program. | ||
size_t ptxSize; | ||
nvrtcCheck(nvrtcGetPTXSize(prog, &ptxSize)); | ||
std::string ptx; | ||
ptx.resize(ptxSize); | ||
nvrtcCheck(nvrtcGetPTX(prog, ptx.data())); | ||
std::vector<std::string> loweredNames; | ||
for (auto& entry : spec.entryPoints) { | ||
const char* temp; | ||
nvrtcCheck(nvrtcGetLoweredName(prog, entry.c_str(), &temp)); | ||
loweredNames.push_back(std::string(temp)); | ||
} | ||
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nvrtcDestroyProgram(&prog); | ||
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CUmodule module; | ||
CU_CHECK(cuModuleLoadDataEx(&module, ptx.data(), 0, 0, 0)); | ||
std::vector<CUfunction> funcs; | ||
for (auto& name : loweredNames) { | ||
funcs.emplace_back(); | ||
CU_CHECK(cuModuleGetFunction(&funcs.back(), module, name.c_str())); | ||
} | ||
return std::make_shared<CompiledModuleImpl>(module, std::move(funcs)); | ||
} | ||
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void CompiledModuleImpl::launch( | ||
int32_t kernelIdx, | ||
int32_t numBlocks, | ||
int32_t numThreads, | ||
int32_t shared, | ||
Stream* stream, | ||
void** args) { | ||
auto result = cuLaunchKernel( | ||
kernels_[kernelIdx], | ||
numBlocks, | ||
1, | ||
1, // grid dim | ||
numThreads, | ||
1, | ||
1, // block dim | ||
shared, | ||
reinterpret_cast<CUstream>(stream->stream()->stream), | ||
args, | ||
0); | ||
CU_CHECK(result); | ||
}; | ||
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KernelInfo CompiledModuleImpl::info(int32_t kernelIdx) { | ||
KernelInfo info; | ||
auto f = kernels_[kernelIdx]; | ||
cuFuncGetAttribute(&info.numRegs, CU_FUNC_ATTRIBUTE_NUM_REGS, f); | ||
cuFuncGetAttribute( | ||
&info.sharedMemory, CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES, f); | ||
cuFuncGetAttribute( | ||
&info.maxThreadsPerBlock, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, f); | ||
int32_t max; | ||
cuOccupancyMaxActiveBlocksPerMultiprocessor(&max, f, 256, 0); | ||
info.maxOccupancy0 = max; | ||
cuOccupancyMaxActiveBlocksPerMultiprocessor(&max, f, 256, 256 * 32); | ||
info.maxOccupancy32 = max; | ||
return info; | ||
} | ||
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} // namespace facebook::velox::wave |
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